Staff Architect

Staff Architect  

Role Overview 

We’re looking for a Staff Architect to lead architecture and technical delivery for a major domain within 6sense’s Revenue Intelligence platform (e.g., real-time signals ingestion & processing, ML inference/serving, multi-tenant data isolation, or GTM integrations & activation). 

This is a senior individual contributor role focused on high-leverage system design + execution leadership: driving architecture for complex initiatives, partnering closely with engineering and product leaders, and ensuring solutions are scalable, resilient, secure, and operable. You will be hands-on where it matters—through reference implementations, prototypes, and deep technical guidance that helps teams ship. 

Key Responsibilities 

Domain Architecture Ownership 

• Own the architecture for a core domain of the platform, ensuring it meets scalability, reliability, security, and performance requirements. 

• Drive end-to-end design for cross-service initiatives: clarify requirements, propose options, lead tradeoffs, and align stakeholders. 

• Produce high-quality design artifacts (HLDs, LLDs, data flow diagrams, API contracts) and lead design reviews. 

Delivery Enablement (Hands-on Leadership) 

• Provide hands-on technical leadership through reference implementations, prototypes/POCs, and critical-path contributions when needed. 

• Partner with engineering teams to translate architecture into executable plans (milestones, risks, dependencies, rollout strategy). 

• Help teams build “operable” systems: instrumentation, alerting, runbooks, dashboards, and failure-mode thinking. 

Data & Signal Processing (if domain-aligned) 

• Lead architecture for ingestion/enrichment pipelines handling large-scale behavioral events and third-party data. 

• Drive improvements to data quality, lineage, observability, and freshness SLAs. 

AI/ML Serving (if domain-aligned) 

• Guide architecture for feature pipelines and inference serving (batch and online), model monitoring, experimentation, and safe rollouts. 

• Partner with data science and ML engineering to productionize reliable, scalable ML systems. 

Multi-Tenant & Platform Foundations (if domain-aligned) 

• Drive patterns for tenant isolation, tenant-aware configuration, partitioning strategy, and scalable onboarding. 

• Identify and mitigate risks around compliance, data integrity, and access control. 

Integration & Activation  

• Lead architecture for integrations with CRM/MAP/GTM tools (Salesforce, HubSpot, Marketo, Outreach, etc.). 

• Establish patterns for reliable data activation (idempotency, retries, backfills, versioning, and extensibility). 

Engineering Excellence & Mentorship 

• Raise the bar through design reviews, technical mentorship, and knowledge-sharing. 

• Contribute to architecture standards and reusable patterns; participate in architecture forums/councils. 

• Identify architectural risks early and drive mitigation plans. 

 

Required Qualifications 

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. 

• 8+ years in software engineering with significant focus on distributed systems and system design   

• Demonstrated experience designing and delivering data-intensive, distributed, cloud-based systems. 

• Strong understanding of:  

• Distributed systems, reliability, scalability, fault tolerance 

• Microservices/event-driven architectures 

• API design, data modeling, integration patterns 

• Observability and operability (metrics/logging/tracing, incident learnings) 

• Experience with a major cloud platform (AWS, GCP, or Azure). 

• Ability to influence across teams through clear communication, strong design rationale, and pragmatic decision-making. 

 

Preferred Qualifications 

• Experience in B2B SaaS, MarTech/AdTech/Revenue Tech, or similar data-heavy product environments. 

• Experience with streaming/batch data systems (Kafka/Flink/Spark or equivalents). 

• Familiarity with OLAP/analytics stores (ClickHouse/Redshift/BigQuery/Druid/Trino, etc.). 

• Familiarity with ML platform concepts (feature pipelines, inference patterns, monitoring), even if not a full-time ML practitioner. 

• Experience designing multi-tenant data and service architectures. 

 

What Success Looks Like 

• A well-defined domain architecture that enables teams to ship confidently and operate reliably in production. 

• Reduced latency/freshness gaps, improved reliability/SLOs, and improved cost-to-serve within your domain. 

• Faster onboarding of new data sources/integrations or faster rollout of new AI-driven capabilities (depending on domain). 

• Strong cross-team alignment, fewer architectural surprises, and smoother delivery of major initiatives. 

 

Why 6sense 

You’ll work on systems that directly shape how B2B revenue teams find and win customers—at massive data scale, with real-time signals, ML-driven predictions, and deep integrations across the GTM stack. 

 

 

Base Salary Range: $209,496.00 - $307,260.80. The base salary range represents the anticipated low and high end of the base salary range for this position. Actual salaries may vary and may be above or below the range based on various factors, including but not limited to work location and experience. The base salary is one component of 6sense’s total compensation package for this position. Other compensation may include a bonus program or commission plan, and stock options if approved by 6sense’s board. In addition, 6sense provides a variety of benefits, including generous health insurance coverage, life, and disability insurance, a 401K employer matching program, paid holidays, self-care days, and paid time off (PTO). #Li-remote

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